• Journal of the Society of Disaster Information
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• v.20 no.2
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• pp.398-410
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• 2024

Purpose: It is to present the development direction of the overall 'disaster management implementation process' (tentative name) for the establishment of an effective 'safety management plan' by the government and local governments. Method: To this end, prior research on the 'safety management plan' was reviewed to derive common problems, and the direction of development was suggested by incorporating the 'disaster management execution process' (tentative name) that can solve these problems with the military's 'operational execution process'. Result: Common problems of previous studies can be supplemented through the 'disaster management performance process' (tentative name) presented by this researcher. Conclusion: Through the "disaster management implementation process" (tentative name), the government's basic ideology of disaster management can be finally achieved, "confirming that it is a basic mission of the state and local governments and allowing the people to live in a society that is safe from disasters."

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.231-249
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• 2021

The need for the development of practical manuals for responding to disasters in public libraries has emerged after COVID-19 was confirmed in Korea in January 2020. The library is a social organization directed affected by COVID-19. Therefore, a reasonable and consistent disaster response manual should be developed and used as a guideline for responding to disasters at the library sites. This study aims to derive implications by examining the current situation of public library manuals for both domestic and international. Furthermore, the responses of overseas libraries experiencing major disasters were analyzed and issued to reflect the current domestic situation. As a result of the study, it was suggested that the library's role as a social organization for disaster response should be enhanced, and that disaster experience needs to be implemented, as guidelines, toolkits, and archive.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.4
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• pp.683-690
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• 2016

In modern society, disasters frequently occur, and the effect is getting more massive. Also, unpredictable future increases anxiety about social security. Accordingly, in order to prevent national-scale emergency from happening, it is highly required governments' role as ICT power nation and transition to disaster management system using big data applied service. Thus, e-gov necessarily acquires disaster response system in order to predict and manage disasters. Disasters are linked with some attributes of modern society in diversity, complexity and unpredictability, so various approach and remedies of them will appease the nation's anxiety upon them. For this reason, this manuscript suggests epidemics preactive warning algorithm model as a mean of reduce national anxiety on disaster using big data for social security. Also, by recognizing the importance of e-gov and analyzing problems in weak disaster management system, it suggests political implication for disaster response.

• Korean Journal of Remote Sensing
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• v.38 no.5_2
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• pp.661-667
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• 2022

As remote sensing and GIS have been considered to be essential technologies for disasters information production, researches on developing methods for analyzing spatial data, and developing new technologies for such purposes, have been actively conducted. Especially, it is assumed that the use of remote sensing and GIS for disaster management will continue to develop thanks to the launch of recent satellite constellations, the use of various remote sensing platforms, the improvement of acquired data processing and storage capacity, and the advancement of artificial intelligence technology. This spatial issue presents 10 research papers regarding ship detection, building information extraction, ocean environment monitoring, flood monitoring, forest fire detection, and decision making using remote sensing and GIS technologies, which can be applied at the disaster prediction, monitoring and response stages. It is anticipated that the papers published in this special issue could be a valuable reference for developing technologies for disaster management and academic advancement of related fields.

• Land and Housing Review
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• v.8 no.3
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• pp.201-210
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• 2017

Recently, as a part of measures against large-scale natural disasters in Korea, disaster prevention matters are strengthened in urban planning. With the introduction of the disaster vulnerability analysis system, plans for disaster prevention are being reinforced in urban planning. However, there are many problems to be solved at the stage of operation and practical application of the law. When disasters occur, we are focusing on response and recovery plans. Therefore, it is not enough to construct a comprehensive disaster prevention system to prevent disasters in advance. The established disaster prevention plan is difficult to plan management centered on disaster prevention due to factors such as economic efficiency, convenience, and comfort. This study is a basic study for supporting disaster prevention mitigation plan. For this purpose, the analysis of the actual situation of disaster prevention plan at home and abroad and improvement plan were derived. ased on these improvement plans, we have developed a method to apply the element technology of urban design to the test bed to reduce sediment disaster. The test bed was investigated and examined in the disaster hazard area of Busan and Seongnam city. And the defense technology is applied to the selected site, and the basis of the disaster prevention plan and design is proposed. If the proven techniques are reflected from the urban planning stage, it will be possible to contribute to the mitigation of sediment disaster caused by the city.

• Journal of Information Science Theory and Practice
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• v.9 no.4
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• pp.35-49
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• 2021

In a situation where there are multiple diverse datasets, it is essential to have an efficient method to provide users with the datasets they require. To address this suggestion, necessary datasets should be selected on the basis of the relationships between the datasets. In particular, in order to discover the necessary datasets for disaster resolution, we need to consider the disaster resolution stage. In this paper, in order to provide the necessary datasets for each stage of disaster resolution, we constructed a disaster type and disaster management process ontology and designed a method to determine the necessary datasets for each disaster type and disaster management process step. In addition, we introduce a method to determine relationships between datasets necessary for disaster response. We propose a method for discovering datasets based on minimal relationships such as "isA," "sameAs," and "subclassOf." To discover suitable datasets, we designed a knowledge exploration model and collected 651 disaster-related datasets for improving our method. These datasets were categorized by disaster type from the perspective of disaster management. Categorizing actual datasets into disaster types and disaster management types allows a single dataset to be classified as multiple types in both categories. We built a knowledge exploration model on the basis of disaster examples to ensure the configuration of our model.

• Earthquakes and Structures
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• v.9 no.1
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• pp.173-194
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• 2015

Site response analysis is an important topic in earthquake engineering. A time-domain numerical method called as one-dimensional (1D) finite element artificial boundary method is proposed to simulate the homogeneous plane elastic wave propagation in a layered half space subjected to the obliquely incident plane body wave. In this method, an exact artificial boundary condition combining the absorbing boundary condition with the inputting boundary condition is developed to model the wave absorption and input effects of the truncated half space under layer system. The spatially two-dimensional (2D) problem consisting of the layer system with the artificial boundary condition is transformed equivalently into a 1D one along the vertical direction according to Snell's law. The resulting 1D problem is solved by the finite element method with a new explicit time integration algorithm. The 1D finite element artificial boundary method is verified by analyzing two engineering sites in time domain and by comparing with the frequency-domain transfer matrix method with fast Fourier transform.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.327-335
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• 2015

Wireless mesh networks for public safety and disaster have been developing in a direction from TETRA(TErrestrial Trunked RAdio) to take advantage of the Public Safety-LTE(Long Term Evolution) technology. In Korea, the Disaster Safety Network Building Project has been promoted in order to unify disaster communication systems among disaster response agencies. In this study, the trends of the network construction for national disaster communication and corresponding representative cases of overseas have been analyzed. Through this process, the disaster communication area in line with the purpose of communications. As a result, the disaster communication can be divided into five distinctive areas: the control, the response, the on-site, the victim and the alarm communications. Based on the re-designed communication areas, quality requirements have also been re-organized in this study. Ultimately the construction method for the Disaster Communication systems without exclusion zone will be presented.

• Journal of Platform Technology
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• v.8 no.3
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• pp.22-29
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• 2020

The 4th industrial revolution is progressing by country as a mega trend that leads various technological convergence directions in the social and economic fields from the initial simple manufacturing innovation. The epidemic of infectious diseases such as COVID-19 is shifting digital-centered non-face-to-face business from economic operation, and the use of AI and big data technology for personalized services is essential to spread online. In this paper, we analyze cases focusing on the application of artificial intelligence technology, which is a key technology for the effective implementation of the digital new deal promoted by the government, as well as the major technological characteristics of the 4th industrial revolution and describe the use cases in the field of disaster response. As a disaster response use case, AI assistants suggest appropriate countermeasures according to the status of the reporter in an emergency call. To this end, AI assistants provide speech recognition data-based analysis and disaster classification of converted text for adaptive response.

• The Korean Journal of Emergency Medical Services
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• v.26 no.3
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• pp.121-135
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• 2022

Purpose: The purpose of this study was to develop a training protocol to standardize the management of mass casualties as part of the disaster response, and to verify the effectiveness of the training protocol. Methods: The study was conducted as a quasi-experimental study with a non-equivalent control group and pretest-posttest design. The protocol was divided into 5 parts, the first for the advance party, the second for the rescue team, the third for the paramedic team, the fourth for the ambulance team, and the fifth for the 119 EMS team. This study was conducted on November 15, 2021 and consisted of 21 subjects in the final experimental group and 23 subjects in the control group. In this study, the prior homogeneity test was analyzed using the χ²-test, intragroup comparisons were analyzed using the paired t-test, and intragroup comparisons were analyzed using the independent t-test. Results: The protocol was developed in five parts: advance party, rescue team, paramedics team, ambulance team, and 119 EMS team. In verifying the effectiveness of the protocol, it was found that there were significant differences in self-efficacy (t=-0.941, p=0.001) and self confidence within the group (t=-0.025, p=0.001) after the implementation of the mass casualty incident response training program. However, there was no significant difference between the experimental and control groups. Conclusion: Based on the findings of this study, it is believed that disaster response personnel can experience lower levels of anxiety and tension in disaster situations if they receive practical and realistic education and training. In the future, it is necessary to enhance protocol based practical education that can improve the knowledge and skills of each team and individual.